Mojtaba Jamiati
Articles in Press, Accepted Manuscript, Available Online from 21 May 2021
Abstract
Abstract— Using DC micro-grid to connect more efficiently with DC output has increased. The sources are photovoltaic and energy storage systems. The conversion losses of the sources for supplying the loads are reduced compared to the AC micro-grid. This method aims at combining the above methods ...
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Abstract— Using DC micro-grid to connect more efficiently with DC output has increased. The sources are photovoltaic and energy storage systems. The conversion losses of the sources for supplying the loads are reduced compared to the AC micro-grid. This method aims at combining the above methods to achieve maximum use of Renewable Energy and Energy Storage and enhancing the efficiency of the grid by using the Active power Filter and applying the DC to DC converter to boost the conversion efficiency and load management with having island inputs and the way to manage the inputs in the state of load disturbance and exit of one of the island inputs from the circuit is rapid injection of energy stored into the grid in the quickest time and the coordinated control between grid and photovoltaic system and battery have been studied in MATLAB/SIMULINK software. The amount of simulation time will be considered 0.5 seconds and the amount of sunlight vary of until
Mostafa Karimi; Mohsen Simab; mehdi nafar
Articles in Press, Accepted Manuscript, Available Online from 18 August 2021
Abstract
This paper studies a new method for reconfiguration of the distribution network that considers access to energy storage devices. Initially, a new distribution network reconfiguration model is being created that takes into account access to energy storage devices. This model takes as an objective function ...
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This paper studies a new method for reconfiguration of the distribution network that considers access to energy storage devices. Initially, a new distribution network reconfiguration model is being created that takes into account access to energy storage devices. This model takes as an objective function the minimum of network losses and takes into account the current power and voltage constraints induced by energy storage devices. In reconfiguration schemes, the dual power flow directions are also deliberated. To solve the proposed model, the Binary Particle Swarm Optimization (BPSO) is implemented to get the optimal reconfiguration scheme. Finally, to check the correctness and efficacy of the proposed process, two distribution networks with admission to energy storage systems are being checked (Initial topology of 12-bus system - Optimal topology without considering energy storage - Optimal topology considering energy storage), Then proposed more suitable method for solving the proposed reconfiguration models in this manuscript.
Mohammad Mehdi Piroozmandan; Fardad Farokhi; Kaveh Kangarloo; Mohsen Jahanshahi
Articles in Press, Accepted Manuscript, Available Online from 18 August 2021
Abstract
In this paper, a novel method named RHDINTPM (Removing High Density Impulse Noise via a Novel Two Phase Method) is proposed for de-noising digital images corrupted by impulse noise. The proposed method is based on cellular automata (CA) and fuzzy cellular automata (FCA). In this method, a given image ...
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In this paper, a novel method named RHDINTPM (Removing High Density Impulse Noise via a Novel Two Phase Method) is proposed for de-noising digital images corrupted by impulse noise. The proposed method is based on cellular automata (CA) and fuzzy cellular automata (FCA). In this method, a given image is mapped to a CA. That is, every pixel of the image is associated with a cell of CA. RHDINTPM is composed of a two-phase filter. The first phase of the proposed method is a two-step noise detector so in the first step the corrupted pixels are diagnosed by the intensity of the minimum value and average Moore neighborhood pixels for central Pixel. In the second step, in order to increase accuracy in improving noise detection, the uncorrupted pixels remained from the first step are investigated by cellular automata. In the second phase of the method, the defective pixels of two-dimensional fuzzy cellular automata are restored using the structure of the Moore neighborhood. The experimental analysis demonstrates that the proposed filter is robust enough to very high levels of noise as high as 90% and preserves the meaningful detail of the image. Also, the proposed approach outperforms other representative filtering techniques in terms of image noise suppression and detail preservation.
Seyed Erfan Hosseini; Alimorad Khajehzadeh; Mahdiyeh Eslami
Articles in Press, Accepted Manuscript, Available Online from 18 August 2021
Abstract
The generation rescheduling is one of the most important methods used in correctional congestion management, which has been the subject of many studies. In the deregulated environment, relieving congestion has a significant impact on the operation and security of the transmission system. Consequently, ...
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The generation rescheduling is one of the most important methods used in correctional congestion management, which has been the subject of many studies. In the deregulated environment, relieving congestion has a significant impact on the operation and security of the transmission system. Consequently, alleviation of transmission network congestion in all power systems is imperative. In addition, the cost is a top priority in all markets, both electrical and non-electrical. In this paper, the problem of managing congestion is solved using rescheduling (increasing or decreasing) of the active power output of the generators. However, the change in the active power generation imposes a cost depending on the prices offered by the generation companies. The objective is to reschedule the power generation of power plants in such a way as to minimize the congestion cost. The crow search optimization algorithm is employed to determine the optimal solution. Different constraints including those related to the network, transmission lines, and power plants are all modeled and considered in this study. Moreover, various contingencies related to line outage are taken into consideration to cause congestion and necessary measure are applied to relieve the congested lines with the least possible cost. In order to evaluate the accuracy and effectiveness of the proposed approach in finding the optimal solution, it is conducted on IEEE 30 and 57 bus test systems. The results obtained for the various cases studies indicate the superiority of the proposed method in comparison with other techniques presented in the literature.
Hayneh Fathi-Sanghari; Neda Behzadfar
Articles in Press, Accepted Manuscript, Available Online from 18 August 2021
Abstract
In this paper, an automated method for identifying the overall range of the tumor and extracting the starting point of brain tumors in Magnetic Resonance Imaging is presented. In this study, images of patients with glioblastoma multiforme were used. By first combining the features of the four MRI modalities, ...
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In this paper, an automated method for identifying the overall range of the tumor and extracting the starting point of brain tumors in Magnetic Resonance Imaging is presented. In this study, images of patients with glioblastoma multiforme were used. By first combining the features of the four MRI modalities, annoying areas such as the eyes, skull, and cerebrospinal fluid that may be problematic are removed. Brain tumors are highly bright in T1-Post images and dark in T1 images. Therefore, calculating the difference between these two images improves the resolution of the tumor area. After performing preprocessing and increasing the resolution of the tumor area, the enclosed frame (BB) algorithm is used. This algorithm is an automatic and fast segmentation method that determines the location of the tumor and its approximate size. After finding the presence of the tumor, the firefly algorithm is used to find the initial point of the tumor. By defining the objective function of moving fireflies to a point that has the maximum light intensity, we can find the point where the probability of a tumor is high. Next, using the growth of the tumor area, the entire tumor area can be extracted. The results show the appropriate speed and accuracy of the proposed method.
Fatemeh Kiayi; Behnaz Gharekhanlou; Alireza Kashaninya
Articles in Press, Accepted Manuscript, Available Online from 18 August 2021
Abstract
Today more than ever, we need high-speed circuits with low occupancy and low power as an alternative to CMOS circuits. Therefore, we proposed a new path to build nanoscale circuits such as Quantum-dot Cellular Automata (QCA). This technology is always prone to failure due to its very small size. Therefore, ...
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Today more than ever, we need high-speed circuits with low occupancy and low power as an alternative to CMOS circuits. Therefore, we proposed a new path to build nanoscale circuits such as Quantum-dot Cellular Automata (QCA). This technology is always prone to failure due to its very small size. Therefore, designers always try to design fault-tolerant gates and provide methods to increase the reliability of QCA. By adding redundant cells, the possibility of some defects such as cell omission and cell addition is somewhat reduced. However, in the face of defects such as stuck-at 0/1 faults, Clock fault and bridging fault. We can greatly increase the fault tolerance by appropriate placement and using fault tolerant gates with a suitable structure. In this paper, we design the XOR/XNOR gate with the approach of preventing stuck-at 0/1 fault, clock fault, and bridging fault using the first NNI gate tolerating cell addition fault.
Hamed fereidouni; Ahmad Fakharian
Articles in Press, Accepted Manuscript, Available Online from 17 September 2021
Abstract
This paper presents a long term optimal control treatment of human immunodeficiency virus (HIV) infection. HIV destroys the body immune system, increases the risk of certain pathologies, damages body organs such as the brain, kidney, and heart, and causes death. Unfortunately, this infectious disease ...
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This paper presents a long term optimal control treatment of human immunodeficiency virus (HIV) infection. HIV destroys the body immune system, increases the risk of certain pathologies, damages body organs such as the brain, kidney, and heart, and causes death. Unfortunately, this infectious disease currently has no cure; however, there are effective retroviral drugs for improving the patients’ health conditions. In this paper, two treatment drugs are considered to decrease the free HIV virus particles in the blood. Since excessive use of these drugs is not without harmful side effects, the prescription dosage should be minimum. Thus, we formulate an optimal control problem to reduce the HIV virus particles in the blood by using minimum drugs. To solve the obtained optimal control, direct method and spline functions are utilized. The main advantage of the direct method to the indirect method is the low computational cost of this solution. Spline functions are tools used in the direct solving approach to achieve the better solutions. Also, three different models are considered in this paper to evaluate the effectiveness of the proposed method in different conditions. In addition, in the end, we compare the results from the proposed approach with the results of the problem solving by indirect method. Furthermore, the sensitivity analysis is checked to demonstrate the performance of control system against parametric uncertainties.
Majid Dehghani; Mehdi Mahdavian; Ali Asghar Amini
Articles in Press, Accepted Manuscript, Available Online from 15 October 2021
Abstract
From a steady state point of view, FACTS devices operate by increasing or decreasing voltage, supplying or absorbing reactive power, and controlling the impedance of a series of transmission lines or phase angles. There are two types of power fluctuation damping controllers in power systems: power system ...
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From a steady state point of view, FACTS devices operate by increasing or decreasing voltage, supplying or absorbing reactive power, and controlling the impedance of a series of transmission lines or phase angles. There are two types of power fluctuation damping controllers in power systems: power system stabilization (PSS) and FACTS POD controllers. The planning and operation condition of electrical power systems are changing due to a variety of causes. Flexible ac transmission system (FACTS) controller helps in raising dynamic stability limit and provide better power flow control. Static synchronous series compensator (SSSC) is one of the important members of series FACTS controller, which consists of a solid-state voltage source inverter coupled with a transformer that is connected in series with a transmission line. In this paper is presented the effect of SSSC for damping power system oscillation. The complete digital simulation is performed in the Matlab Simulink environment. .
Mahdi Shafiof; Neda Behzadfar
Articles in Press, Accepted Manuscript, Available Online from 15 October 2021
Abstract
Tumor detection and isolation in magnetic resonance imaging (MRI) is a significant consideration, but when done manually by people, it is very time consuming and may not be accurate. Also, the appearance of the tumor tissue varies from patient to patient, and there are similarities between the tumor ...
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Tumor detection and isolation in magnetic resonance imaging (MRI) is a significant consideration, but when done manually by people, it is very time consuming and may not be accurate. Also, the appearance of the tumor tissue varies from patient to patient, and there are similarities between the tumor and the natural tissue of the brain. In this paper, we have tried to provide an automated method for diagnosing and displaying brain tumors in MRI images. Images of patients with glioblastoma were used after applying pre-processing and removing areas that have no useful information (such as eyes, scalp, etc.). We used a bounding box algorithm, to create a projection for to determining the initial range of the tumor in the next step, an artificial bee colony algorithm, to determine an initial point of the tumor area and then the Grow cut algorithm for, the exact boundary of the tumor area. Our method is automatic and extensively independent of the operator. comparison between results of 12 patients in our method with other similar methods indicate a high accuracy of the proposed method (about 98%) in comparison s.
Seyed Mahdi Behinnezhad; Ghazanfar Shahgholian; Bahador Fani
Articles in Press, Accepted Manuscript, Available Online from 15 October 2021
Abstract
In this paper, a control method based on internal current control loop and dc link voltage regulator for three-phase photovoltaic (PV) system connected to the distribution network is presented. Current control method, the dynamics of the PV system separate it from the dynamics of the grid and the loads ...
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In this paper, a control method based on internal current control loop and dc link voltage regulator for three-phase photovoltaic (PV) system connected to the distribution network is presented. Current control method, the dynamics of the PV system separate it from the dynamics of the grid and the loads in it, and dc link voltage control improves control and increases the output power of the PV system. Also, a feedback control method is proposed to adjust the dc link voltage in order to improve the transient response of the PV system, which distinguishes the dynamics of the PV system from the nonlinear characteristics of solar cells and enables the design and optimization of system controllers in a wider range of workstations. In order to achieve a constant voltage level, a dc/dc converter is recommended to prevent the transfer of voltage harmonics to the inverter. The proposed method is investigated using a simulation of a PV system connected to the distribution network in the MATLAB software environment.
